A comparison of rotation- and blob-based system models for 3D SPECT with depth-dependent detector response
dc.contributor.author | Yendiki, Anastasia | en_US |
dc.contributor.author | Fessler, Jeffrey A. | en_US |
dc.date.accessioned | 2006-12-19T19:04:13Z | |
dc.date.available | 2006-12-19T19:04:13Z | |
dc.date.issued | 2004-06-07 | en_US |
dc.identifier.citation | Yendiki, A; Fessler, J A (2004). "A comparison of rotation- and blob-based system models for 3D SPECT with depth-dependent detector response." Physics in Medicine and Biology. 49(11): 2157-2168. <http://hdl.handle.net/2027.42/48977> | en_US |
dc.identifier.issn | 0031-9155 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/48977 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15248570&dopt=citation | en_US |
dc.description.abstract | We compare two different implementations of a 3D SPECT system model for iterative reconstruction, both of which compensate for non-uniform photon attenuation and depth-dependent system response. One implementation performs fast rotation of images represented using a basis of rectangular voxels, whereas the other represents images using a basis of rotationally symmetric volume elements. In our simulations the blob-based approach was found to slightly outperform the rotation-based one in terms of the bias-variance trade-off in the reconstructed images. Their difference can be significant, however, in terms of computational load. The rotation-based method is faster for many typical SPECT reconstruction problems, but the blob-based one can be better-suited to cases where the reconstruction algorithm needs to process one volume element at a time. | en_US |
dc.format.extent | 3118 bytes | |
dc.format.extent | 152561 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | IOP Publishing Ltd | en_US |
dc.title | A comparison of rotation- and blob-based system models for 3D SPECT with depth-dependent detector response | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationum | Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.identifier.pmid | 15248570 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/48977/2/pmb4_11_003.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1088/0031-9155/49/11/003 | en_US |
dc.identifier.source | Physics in Medicine and Biology. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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